Evidence map›Paper›PMID 35021055›Full record

ArticleImmunity2022

Analysis of antibody binding specificities in twin and SNP-genotyped cohorts reveals that antiviral antibody epitope selection is a heritable trait.

Thiagarajan Venkataraman, Cristian Valencia, Massimo Mangino, William Morgenlander, Steven J Clipman, Thomas Liechti, Ana Valencia, Paraskevi Christofidou, Tim Spector, Mario Roederer and 2 more

Abstract readTwin Study
In one paragraph

Article in Immunity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
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  5. Human genetics of responses to vaccines.Clinical and experimental immunology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Thiagarajan VenkataramanInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Cristian ValenciaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Massimo ManginoDepartment of Twin Research & Genetic Epidemiology, King's College of London, London, UK; NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London SE1 9RT, UK.
William MorgenlanderInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Steven J ClipmanDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Thomas LiechtiImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA.
Ana ValenciaSchool of Medicine, Universidad Pontificia Bolivariana, Medellín, Colombia.
Paraskevi ChristofidouDepartment of Twin Research & Genetic Epidemiology, King's College of London, London, UK.
Tim SpectorDepartment of Twin Research & Genetic Epidemiology, King's College of London, London, UK.
Mario RoedererImmunoTechnology Section, Vaccine Research Center, NIAID, NIH, Bethesda, MD, USA.
Priya DuggalDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
H Benjamin LarmanInstitute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA. Electronic address: hlarman1@jhu.edu.

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
Development of Highly Multiplex Antigen Specificity AssaysU24AI118633 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ELLEDGE, STEPHEN J, LARMAN, HARRY BENJAMIN · 2015 to 2020
$2.4M
Design and Analysis of Displayed PeptidomesR01GM136724 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LARMAN, HARRY BENJAMIN, RUCZINSKI, INGO · 2020 to 2023
$1.9M
NIAID NIH HHS U24 AI118633NIAID NIH HHS UM1 AI068613NIGMS NIH HHS R01 GM136724NIGMS NIH HHS T32 GM136577Wellcome TrustWellcome Trust 212904/Z/18/Z
6 · The paper itself

Abstract

Human immune responses to viral infections are highly variable, but the genetic factors that contribute to this variability are not well characterized. We used VirScan, a high-throughput epitope scanning technology, to analyze pan-viral antibody reactivity profiles of twins and SNP-genotyped individuals. Using these data, we determined the heritability and genomic loci associated with antibody epitope selection, response breadth, and control of Epstein-Barr virus (EBV) viral load. 107 EBV peptide reactivities were heritable and at least two Epstein-Barr nuclear antigen 2 (EBNA-2) reactivities were associated with variants in the MHC class II locus. We identified an EBV serosignature that predicted viral load in peripheral blood mononuclear cells and was associated with variants in the MHC class I locus. Our study illustrates the utility of epitope profiling to investigate the genetics of pathogen immunity, reports heritable features of the antibody response to viruses, and identifies specific HLA loci important for EBV epitope selection.

Indexed as

GenotypeAdolescentAdultAgedAntibodies, ViralCohort StudiesEpitope MappingEpitopesEpstein-Barr Virus InfectionsEpstein-Barr Virus Nuclear AntigensFemaleHerpesvirus 4, HumanHLA AntigensHumansImmunity, HumoralImmunodominant EpitopesAntibodies, ViralEBNA-2 protein, Human herpesvirus 4EpitopesEpstein-Barr Virus Nuclear AntigensHLA AntigensImmunodominant EpitopesPeptidesViral ProteinsEpstein-Barr virushumoral immunityimmunogeneticsviral antibody epitope selectionVirScan

Identifiers

PMID35021055
PMCPMC8852220

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.